About Me
Warren Niles is currently the founder of an advertising technology startup. His expertise includes quantitative finance, artificial intelligence, distributed systems, and cryptography. He has developed the following:
AI for web traffic fingerprinting.
AI for sentiment analysis.
Distributed database system for Consistency and Partitioning (CP) scaling at high and tuneable availability.
Autonomous financial data scraper and quantitative analysis engine that consumes real time financial data to find statistically significant short term trading patterns.
Warren received a Bachelor of Science in Computer Science with a concentration in Machine Learning from University of Chicago and a minor in Statistics.